Digital-Twin Modelling of the Gut Microbiome to Guide Personalized Probiotic-Drug Combinations

Abstract

Proposes digital-twin modelling of the gut microbiome for guiding personalized probiotic-drug combination therapies.

This work intersects with research areas including digital twin, gut microbiome, probiotics, personalized medicine, drug combinations, microbiome modelling, and precision health. It is part of the broader research portfolio of Nitiraj V. Kulkarni in the domain of peer-reviewed academic publishing.

Keywords & Topics

digital twin, gut microbiome, probiotics, personalized medicine, drug combinations, microbiome modelling, precision health

How to Cite

APA

Nitiraj V. Kulkarni et al. (2026). Digital-Twin Modelling of the Gut Microbiome to Guide Personalized Probiotic-Drug Combinations. International Conference on Sustainable Innovation with AI and ML, Pages 476–489, Atlantis Press. Atlantis Press.

IEEE

Nitiraj V. Kulkarni et al., "Digital-Twin Modelling of the Gut Microbiome to Guide Personalized Probiotic-Drug Combinations," International Conference on Sustainable Innovation with AI and ML, Pages 476–489, Atlantis Press, 2026.

BibTeX

@article{2026_digital_twin_gut_microbiome_probiotics,
  title={Digital-Twin Modelling of the Gut Microbiome to Guide Personalized Probiotic-Drug Combinations},
  author={Nitiraj V. Kulkarni et al.},
  journal={International Conference on Sustainable Innovation with AI and ML},
  year={2026},
  publisher={Atlantis Press}
}

Identifiers & Links

Last updated: 2026-01-01

About the Author

Nitiraj V. Kulkarni is an AI safety and cybersecurity researcher based in Pune, India, with 35+ peer-reviewed publications, 5 patents, 6 copyright registrations, and 15,000+ open datasets published on Kaggle and Zenodo. He serves as a peer reviewer for 11+ international journals and conferences. Read full profile.